Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
[Preprint]. 2023 Dec 20:rs.3.rs-3692586.
doi: 10.21203/rs.3.rs-3692586/v1.

Geo-Demographic and Socioeconomic Determinants of Diagnosed Hypertension among Urban Dwellers in Ibadan, Nigeria: A Community-based Study

Mayowa Owolabi  1 , Olalekan Taiwo  2 , Joshua Akinyemi  3 , Ayodeji Adebayo  3 , Oluwafemi Popoola  3 , Rufus Akinyemi  4 , Onoja Akpa, Paul Olowoyo, Akinkunmi Okekunle, Ezinne Uvere, Chukwuemeka Nwimo  3 , Omotolani Ajala  3 , Olayinka Adebajo  3 , Adewale Ayodele  3 , Salami Ayodeji  3 , Oyedunni Arulogun  3 , Olanrewaju Olaniyan  3 , Richard Walker  5 , Carolyn Jenkins  6 , Bruce Ovbiagele  7
Affiliations

Geo-Demographic and Socioeconomic Determinants of Diagnosed Hypertension among Urban Dwellers in Ibadan, Nigeria: A Community-based Study

Mayowa Owolabi et al. Res Sq. .

Update in

Abstract

Background: The relationship between diagnosed high blood pressure (HBP) and proximity to health facilities and noise sources is poorly understood. We investigated the relationship between proximity to noise sources, sociodemographic and economic factors, and diagnosed HBP in Ibadan, Nigeria.

Methods: We investigated 13,531 adults from the African Rigorous Innovative Stroke Epidemiological Surveillance (ARISES) study in Ibadan. Using a Geographic Information System (GIS), the locations of healthcare facilities, pharmaceutical shops, bus stops, churches, and mosques were buffered at 100m intervals, and coordinates of persons diagnosed with HBP were overlaid on the buffered features. The number of persons with diagnosed HBP living at every 100m interval was estimated. Gender, occupation, marital status, educational status, type of housing, age, and income were used as predictor variables. Analysis was conducted using Spearman rank correlation and binary logistic regression at p<0.05.

Results: There was a significant inverse relationship between the number of persons diagnosed with HBP and distance from pharmaceutical shops (r=-0.818), churches (r=-0.818), mosques (r=-0.893) and major roads (r=-0.667). The odds of diagnosed HBP were higher among the unemployed (AOR=1.58, 95% CI: 1.11-2.24), currently married (AOR=1.45, CI: 1.11-1.89), and previously married (1.75, CI: 1.29-2.38). The odds of diagnosed HBP increased with educational level and age group.

Conclusion: Proximity to noise sources, being unemployed and educational level were associated with diagnosed HBP. Reduction in noise generation, transmission, and exposure could reduce the burden of hypertension in urban settings.

Keywords: Faith-based organisations; High blood pressure; Ibadan; Noise; Spatial analysis.

PubMed Disclaimer

Conflict of interest statement

Declaration of competing interest All authors declare they had no conflict of interest.

Figures

Figure 1
Figure 1
The Study Administrative Wards within the Ibadan Metropolitan Area, Oyo State.
Figure 2
Figure 2
Kernel Density Estimation of Self-Reported HBP
See this image and copyright information in PMC

References

    1. Wiernik E, Pannier B, Czernichow S, et al. Occupational Status Moderates the Association Between Current Perceived Stress and High Blood Pressure. Hypertension. 2013;61(3):571–577. doi:10.1161/HYPERTENSIONAHA.111.00302 - DOI - PMC - PubMed
    1. Mills KT, Bundy JD, Kelly TN, et al. Global Disparities of Hypertension Prevalence and Control. Circulation. 2016;134(6):441–450. doi:10.1161/CIRCULATIONAHA.115.018912 - DOI - PMC - PubMed
    1. Fisher NDL, Curfman G. Hypertension—A Public Health Challenge of Global Proportions. JAMA. 2018;320(17):1757. doi:10.1001/jama.2018.16760 - DOI - PubMed
    1. Zhou F, Shrestha A, Mai S, et al. Relationship between occupational noise exposure and hypertension: A cross-sectional study in steel factories. Am J Ind Med. 2019;62(11):961–968. doi:10.1002/ajim.23034 - DOI - PubMed
    1. Hahad O, Kröller-Schön S, Daiber A, Münzel T. The Cardiovascular Effects of Noise. Dtsch Arztebl Int. Published online April 5, 2019. doi:10.3238/arztebl.2019.0245 - DOI - PMC - PubMed

Publication types

LinkOut - more resources